Enhancing Time Series Data Predictions: A Survey of Augmentation Techniques and Model Performances

Author:

Victor Alexander Okhuese1ORCID,Ali Muhammad Intizar2ORCID

Affiliation:

1. ML Labs SFI Centre for Research Training in Machine Learning, School of Electronic Engineering, Dublin City University, Ireland

2. School of Electronic Engineering, Dublin City University, Ireland

Funder

Insight SFI Research Centre for Data Analytics

Science Foundation Ireland

Publisher

ACM

Reference38 articles.

1. Conditional GAN based augmentation for predictive modeling of respiratory signals

2. C, Esteban, S, Hyland, and G, Rätsch, “Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs.”, 2021 ResearchGate. https://www.researchgate.net/publication/317418923_

3. P. Malhotra, V. TV, L. Vig, P. Agarwal, and G. Shroff. TimeNet: Pre-trained deep recurrent neural network for time series classification. arXiv preprint arXiv:1706.08838, 2017.

4. Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting

5. S. Smyl, and K. Kuber. “Data preprocessing and augmentation for multiple short time series forecasting with recurrent neural networks.” In the 36th international symposium on forecasting, 2016.

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